Product Analytics & Experimentation Lead — Remote (6mo)

Ticketmaster; California City (CA); Remote; USD 134,000 - 212,000; Part time

Benefits offered by this job

Medical, vision, dental and mental健康

Free concert tickets

401(k) with match

Stock reimbursement

Tuition reimbursement and career dev

Job summary

Ticketmaster is seeking a Manager, Product Analytics and Experimentation to build a scalable experimentation practice and partner across Product, Design, Engineering, Research, and Analytics. The role focuses on improving the fan experience and growing revenue through rigorous analysis and new data perspectives.

You will lead hands-on experimentation efforts, oversee tools like Optimizely, and apply advanced statistics and AI-assisted analytics to drive decision‑making across the product

Qualifications

• Define and measure digital metrics aligned with fan and business goals.
• Identify trends and opportunities to improve the fan experience using data.
• Build analytics tools and self-serve resources for teams.
• Lead an end-to-end product experimentation program from hypothesis to insight.
• Hands-on experience with Optimizely: setup, QA, instrumentation, monitoring.
• Apply advanced statistics: hypothesis testing, power analysis, sample-size planning.
• Leverage AI tools/LLMs to speed up analysis and reporting; use GA and Contentsquare.
• Proficient SQL user with Databricks and BigQuery experience.
• Partner with stakeholders to deliver data-driven strategic insights.
• Coach teams to improve experimentation capabilities.
• Maintain intellectual honesty and let data challenge assumptions.

Responsibilities

• Collaborate with cross‑functional partners to define key metrics.
• Analyze data to uncover trends and opportunities that impact the end‑to‑end fan experience.
• Develop analytics tools and self‑service resources for teams.
• Spearhead the product experimentation program from design to recommendations.
• Configure and monitor experiments in Optimizely; ensure QA and instrumentation validity.
• Apply rigorous statistics to test results and recommendations.
• Utilize AI tools/LLMs to automate analyses and reporting; work with GA/Contentsquare.
• Manage SQL workflows in Databricks and BigQuery to support insights.
• Translate business needs into analytical frameworks and dashboards.
• Mentor colleagues to build experimentation maturity.

Skills

Analytics

Experimentation

Stakeholder collaboration

Advanced statistics

AI tools & LLMs

SQL

Databricks

BigQuery

Google Analytics

Contentsquare

Tools

Optimizely

Google Analytics

Contentsquare

Databricks

Google BigQuery

Job description

Ticketmaster is seeking a Manager, Product Analytics and Experimentation to build a scalable experimentation practice and partner across Product, Design, Engineering, Research, and Analytics. The role focuses on improving the fan experience and growing revenue through rigorous analysis and new data perspectives.

You will lead hands-on experimentation efforts, oversee tools like Optimizely, and apply advanced statistics and AI-assisted analytics to drive decision‑making across the product